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Academic Articles & Research Papers
Showing 20 of 621 academic articles
• Series in machine perception and artificial intelligence
(2019)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...
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DOI: https://doi.org/10.1142/9789811201967_0001
Ethem Alpaydın • The MIT Press eBooks
(2021)
A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...
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Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones
(2021)
Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones5030099
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee • Cancers
(2022)
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stra...
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DOI: https://doi.org/10.3390/cancers14061524
PMC: 8946688
Peter Vas (1999)
Abstract Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some for...
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DOI: https://doi.org/10.1093/oso/9780198593973.001.0001
Maximilian Hoffmann, Ralph Bergmann • Proceedings of the International Florida Artificial Intelligence Research Society Conference
(2023)
In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by usin...
DOAJ
Open Access (DOAJ)
DOI: 10.32473/flairs.36.133039
Akshar Joshi, Gautam Mishra • International Conference & Workshop on Emerging Trends in Technology
(2010)
In this paper, we will explore the magic of giving the power of thinking to man--made machines, i.e. Artificial Intelligence which is involved in many fields of electronics and computers. In 1956, John McCarthy who coined the term of Artifi...
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DOI: https://doi.org/10.1145/1741906.1742236
Gerhard Heßler, Karl H. Baringhaus • Molecules
(2018)
Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like...
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DOI: https://doi.org/10.3390/molecules23102520
PMC: 6222615
Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022
Ling Wang, Xing Liu, Guangcai Zhang, Fuxun Qi et al. • Advanced Science
(2025)
Abstract Neuromorphic computing systems convert multimodal signals to electrical responses for artificial intelligence recognition. Energy is consumed during both the response enhancement and depression, making the systems suffer from high ...
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Open Access (DOAJ)
DOI: 10.1002/advs.202500521
Zeynep Akkutay-Yoldar, Mehmet Türkay Yoldar, Yiğit Burak Akkaş, Sibel Şurak et al. • Scientific Reports
(2025)
Abstract Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-89639-0
Hao Xu, Yuntian Chen, Dongxiao Zhang • Advanced Science
(2022)
Abstract The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pac...
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Open Access (DOAJ)
DOI: 10.1002/advs.202204723
Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon
(2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e28147
Richard E. Neapolitan, Xia Jiang • Chapman & Hall/CRC eBooks
(2018)
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machi...
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DOI: https://doi.org/10.1201/b22400
Sarkar Siddique, James C. L. Chow • Reports of Practical Oncology & Radiotherapy
(2020)
Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and ma...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.rpor.2020.03.015
PMC: 7321818
James Curzon, Tracy Ann Kosa, Rajen Akalu, Khalil El‐Khatib • IEEE Transactions on Artificial Intelligence
(2021)
Artificial intelligence is a rapidly developing field of research with many practical applications. Congruent to advances in technologies that enable big data, deep learning, and neural networks to train, learn, and predict, artificial inte...
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DOI: https://doi.org/10.1109/tai.2021.3088084
Saied Pirasteh, Zohreh Bazvand, Naseh Miri, Zhaoxi Fang et al. • Geo-spatial Information Science
(2026)
Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/10095020.2026.2682739
Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah et al. • npj Digital Medicine
(2020)
Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algori...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-020-0287-6
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243